Simon Alderton BSc, MSc, PhDSpace-Time Analyst



Image: Geoffrey Attardo





Simulating Sleeping Sickness: A Multi-Host Agent-Based Model.

Doctor of Philosophy Thesis

Summary:

  • Human African Trypanosomiasis, also known as sleeping sickness, is a neglected tropical disease (NTD), a group of the most common conditions which affect the poorest 500 million people living in sub-Saharan Africa.
  • With a focus on preventative measures to mitigate the disease, this research presents a novel, detailed agent-based modelling (ABM) approach to aid understanding of rHAT transmission at a fine resolution in a 75 km case study of Eastern Province, Zambia.
  • Within the research, ABM and A* pathfinding techniques were combined to allow the generation of human movement routes between homes and vital resources in a rural setting.
  • A multi-host ABM was created using these paths, census and activity data for human, cattle, and a detailed tsetse model component.
  • Finally, the model was subjected to system perturbations which represent "what-if" or potential future mitigation scenarios.

This work was funded by the Institute of Complex Systems Simulation, an EPSRC funded Doctoral Training Centre.



Simulating Sleeping Sickness: A Multi-Host Agent-Based Model.

Doctor of Philosophy Thesis

Image: Geoffrey Attardo

Summary:

  • Human African Trypanosomiasis, also known as sleeping sickness, is a neglected tropical disease (NTD), a group of the most common conditions which affect the poorest 500 million people living in sub-Saharan Africa.
  • With a focus on preventative measures to mitigate the disease, this research presents a novel, detailed agent-based modelling (ABM) approach to aid understanding of rHAT transmission at a fine resolution in a 75 km case study of Eastern Province, Zambia.
  • Within the research, ABM and A* pathfinding techniques were combined to allow the generation of human movement routes between homes and vital resources in a rural setting.
  • A multi-host ABM was created using these paths, census and activity data for human, cattle, and a detailed tsetse model component.
  • Finally, the model was subjected to system perturbations which represent "what-if" or potential future mitigation scenarios.




This work was funded by the Institute of Complex Systems Simulation, an EPSRC funded Doctoral Training Centre.